Evidence map›Paper›PMID 30682872›Full record

ArticleMolecules (Basel, Switzerland)2019

Investigations into the Performance of a Novel Pocket-Sized Near-Infrared Spectrometer for Cheese Analysis.

Verena Wiedemair, Dominik Langore, Roman Garsleitner, Klaus Dillinger, Christian Huck

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 49 citations in OpenAlex.

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  9. Review
  10. Review
  11. Article
  12. Principles and Applications of Miniaturized Near-Infrared (NIR) Spectrometers.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Verena WiedemairCCB-Center for Chemistry and Biomedicine, Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria. verena.wiedemair@uibk.ac.at.
Dominik LangoreCCB-Center for Chemistry and Biomedicine, Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria. dominik.langore@student.uibk.ac.at.
Roman GarsleitnerChemical devision, HBLFA für Landwirtschaft und Ernährung, Lebensmittel und Biotechnologie Tirol,Rotholz 50a, 6200 Strass im Zillertal, Austria. roman.garsleitner@hblfa-tirol.at.
Klaus DillingerChemical devision, HBLFA für Landwirtschaft und Ernährung, Lebensmittel und Biotechnologie Tirol,Rotholz 50a, 6200 Strass im Zillertal, Austria. klaus.dillinger@hblfa-tirol.at.
Christian HuckCCB-Center for Chemistry and Biomedicine, Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria. christian.w.huck@uibk.ac.at.
Universität Innsbruck · ATHBLFA Tirol · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of a newly developed pocket-sized near-infrared (NIR) spectrometer was investigated by analysing 46 cheese samples for their water and fat content, and comparing results with a benchtop NIR device. Additionally, the automated data analysis of the pocket-sized spectrometer and its cloud-based data analysis software, designed for laypeople, was put to the test by comparing performances to a highly sophisticated multivariate data analysis software. All developed partial least squares regression (PLS-R) models yield a coefficient of determination (R²) of over 0.9, indicating high correlation between spectra and reference data for both spectrometers and all data analysis routes taken. In general, the analysis of grated cheese yields better results than whole pieces of cheese. Additionally, the ratios of performance to deviation (RPDs) and standard errors of prediction (SEPs) suggest that the performance of the pocket-sized spectrometer is comparable to the benchtop device. Small improvements are observable, when using sophisticated data analysis software, instead of automated tools.

Indexed as

CheeseFatsFood AnalysisLeast-Squares AnalysisMultivariate AnalysisPrincipal Component AnalysisSpectroscopy, Near-InfraredWaterFatsWaterNIR, SCiO, pocket-sized spectrometer, cheese, fat, moisture, multivariate data analysis

Identifiers

PMID30682872
PMCPMC6385083
OpenAlexW2912271383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.